The Agent Followed The Rule. The Outcome Was Still Wrong.
Traditional software follows explicit logic. AI agents operate differently. They interpret. They infer. They optimize. And sometimes that creates unexpected outcomes. Consider a rule: Only access customer inform
Traditional software follows explicit logic.
AI agents operate differently.
They interpret.
They infer.
They optimize.
And sometimes that creates unexpected outcomes.
Consider a rule:
Only access customer information when necessary.
A human naturally evaluates necessity.
An AI agent may evaluate usefulness.
That small difference can completely change behavior.
The challenge isnβt creating more rules.
Itβs understanding how agents interpret existing ones.
As AI systems gain autonomy, security teams need to evaluate not just compliance, but interpretation.
Because the future of AI security wonβt be defined by whether agents follow rules.
It will be defined by how they understand them.
This is one of the reasons weβre building Crucible.
Pytest for AI agents.
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Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes β full credit and traffic to the original publisher.